This study presents a comprehensive analysis of biomass pyrolysis as a key strategy to
achieve India's sustainable energy objectives, particularly in hydrogen production. Through …

Efficiently and accurately separating infrared (IR) small targets from complex backgrounds
presents a significant challenge. Numerous studies in the literature have proposed various …

The frequent illegal use of drones poses a serious threat to public security and property.
Counter-drones are crucial tools. The prerequisite for an effective counter-drone is to detect …

High-resolution remote sensing (RS) image change detection (CD) focuses on ground
surface changes. It has wide applications, including territorial spatial planning, urban region …

In the domain of infrared small target detection (IRSTD), the challenges revolve around
detecting small and faint targets from infrared images. These targets lack distinct textures …

Infrared dim and small target detection has significant research value and application
prospects in both military affairs and civil safety scenes. This topic presents substantial …

Existing low-rank methods usually introduce manifold learning to achieve good detection
performance in complex scenes. However, these methods suffer from high computational …

Infrared small target detection faces the inherent challenge of precisely localizing dim
targets amidst complex background clutter. Traditional approaches struggle to balance …

Infrared small-target detection is a challenging task for deep learning-based methods,
because targets tend to disappear in the deep layers. To handle this problem, the existing …

Infrared small target detection plays a crucial role in various domains like early warning,
national defense, and monitoring. Although existing detection methods have achieved some …